Showing posts with label selective sweep. Show all posts
Showing posts with label selective sweep. Show all posts

Friday, December 16, 2011

Hard selective sweeps do not seem to be the rule in human evolution.

by Ricardo Kanitz, based on the paper by Hernandez et al. published in Science (2011).

One of the main topics in evolution is – as it has always been – human evolution. Many new methods are applied first to humans; other methods, which are not applied there, often come to humans at some point anyway. This is particularly true in the field of genomics and it is no surprise since we are talking about our own species' evolution. The study commented here addresses an interesting general question in the subject. How selection shaped (if at all) our genomes?

More specifically, Hernandez and colleagues are interested in the classic signature of selection in genomes, the “selective sweep”. This so-called sweep is simply the reduction of measured diversity in the (genomic) surroundings of a positively selected mutation. This is observed when (1st) a new beneficial mutation appears, (2nd) it rapidly becomes the most common variant in a population and, (3rd) because genomic positions are not physically independent, nearby positions also become more frequent. As we move further away from such positively selected position, we observe a decay of such pattern due to recombination (see cartoon below).

Based on functional groundings, the authors looked at different parts of the genome. They predicted that non-synonymous mutations (those which change the amino acid in the resulting protein) should show stronger signals of these sweeps when compared to the synonymous mutations. As shown in their Figure 2 (below here), there is no difference whatsoever.


However, they do see a decrease in diversity around all these positions, which is not observed in non-coding ones (see the gray area in their Figure S5A below).


To explore this discrepancy, the authors took advantage of simulations. As seen in Figure 3A below, they simulated a neutral (i.e. control) scenario and compared it to different selective scenarios accounting for varying proportions of human specific amino acid fixations (α = 10%, 15% and 25%) as favored with different selection coefficients (s = 1% or 0.1%). In such conditions, there should be power to detect selection. Based on the fact that they do not detect it, the authors claim that selection was rather rare (with α < 10% and s < 0.1%). Here, I must say that I found these numbers rather high and not at all conservative.

As it follows, they proposed a scenario of background purifying selection to explain the observed pattern. In Figure 3B above, they showed the fit of simulations with background selection (purple, green and orange) with the observations (dark blue, light blue and red). Such a fit appears to be very good and they conclude that the pattern they observed is better explained by purifying selection (a.k.a. strict neutrality) than by recurrent positive selection.

Finally, given (1) the fact that the observations did not fit the predictions of their (rather extreme) selection model, and (2) that a neutral model was able to explain the observations, the general conclusion is that classic selective sweeps resulting from strong positive selection were quite rare in the recent human evolution.

Although it would be interesting to see how the results would look like with lower (and more realistic) values for α and s, this study brings about the interesting discussion of the modus operandi of human adaptation. Classical examples based on phenotypes show that humans underwent recurrent adaptations when it comes to diet, immune response and skin pigmentation. The molecular mechanisms underlying these, however, might not be as simple as the “Classic Selective Sweeps”. Complex genetic architectures linking small effect polygenic variants, for example, may lead to soft sweeps; which do not leave the same sort of signature and can easily be missed in the background noise created by the potentially overwhelming neutral evolution. Therefore, there are still many unknown features related to recent human evolution – especially concerning non-neutral evolution – and the growing availability of data coupled with better analytical methods may bring new and possibly surprising results in the coming years of scientific investigation.


Wednesday, November 30, 2011

Classic Selective Sweeps Were Rare in Recent Human Evolution

ResearchBlogging.orgWith the rise of genomics and the availability of whole genome sequences, geneticists hope to be able to understand the recent adaptations humans underwent. Classic selective sweeps, where a beneficial allele arises in a population and subsequently goes to fixation, leave a specific pattern. Indeed, all variation is erased as the selected allele invades the population, and the neighboring neutral variation is also partially swept, with an intensity depending on the linkage with the selected region.

An example of classic selective sweep pattern. As the distance from the selected nucleotide increases, diversity increases. Fig. 2 from Hernandez et al. 2011.

The selective sweep pattern was used to find evidence for recent adaptation in humans. Many candidate genes for recent adaptation in humans were found. Nevertheless, the preeminence of classic selective sweeps compared with other modes of adaptation (like background selection or recurrent a.k.a. "soft" sweeps) is still unknown.

In this paper, the authors claim that classic selective sweeps are in fact a rare event in human recent evolution. They argue that the overall pattern found in genome scan studies can be explained with only nearly neutral mechanisms (neutral evolution plus some purifying selection), without any positive selection going on. This casts a doubt on our ability to detect regions under selection from molecular data with currently available techniques.

Their evidence is based on polymorphism data from 179 human genomes from the 1000 genome project (see Durbin et al. 2010). The authors identified single nucleotide polymorphism. They pooled together all exons in order to see the overall sweep pattern around each substitution. The first blow to the preeminence of classic selective sweeps comes from the fact that synonymous and non-synonymous sites show the exact same sweep pattern. We would expect that non-synonymous sites, as they should be the targets of adaptation, show a stronger sweep pattern. Another concern comes from the comparison of genetic data with the expectation under neutral evolution. They show (see fig. 3) that if classic selective sweeps are frequent (more than 10% of human specific substitutions), we have the statistical power to detect a difference with a purely neutral evolution scenario. Nevertheless, we do not observe any difference between the genomic data and the neutral simulations.

Comparison of simulations under a neutral model with a model with selection, and the actual human genomes data. What is interesting in panel A is that the power is strong for all fractions of the genome under selection the authors tested (alpha parameter). Therefore the authors claim that if classic selective sweeps are frequent in the population, we should be able to detect a significant departure from neutrality. Panel B completes the argument as we can see that all curves (neutral model and human genome data) are merged. Considering that we should have the power to detect a departure from neutrality, the authors claim that the neutral scenario cannot be rejected. Fig. 3 from Hernandez et al. 2011.

They conclude that classic selective sweeps should not have been the major mode of adaptation in recent human evolution.


I personally was not convinced by the relevance of using a mean pattern, over all coding regions, to attest that classic sweeps were rare in human evolution. Indeed, most coding regions have not experienced a selective sweep in the past, and thus the mean pattern should indeed not differ from a neutral or background selection model. Nevertheless, the authors anticipated this argument, as they run simulations where only a fraction of the genome is under positive selection. And as I wrote above, they show that we should be able to discriminate between selection and background mutation, even if the proportion of loci under selection are as low as 10% of human specific substitutions.
We raised during our discussion another concern, regarding the parameter range covered in their simulations. Indeed, the authors tested the power to distinguish selection and neutrality with several fractions of the genome under positive selection, but did not test a wide range of selection coefficient. A selection coefficient of 0.01 already seems very large, and the question remains to see if with weaker selection, we do expect to see a difference in the mean pattern of diversity over all exon SNPs. 
 In conclusion, I believe that the authors showed that so far we can only detect classic AND very strong selective sweeps from molecular data. In my opinion, this means that we can rarely detect classic selective sweeps. The question remains whether classic but weaker selective sweeps were rare in recent human evolution.

Hernandez, R., Kelley, J., Elyashiv, E., Melton, S., Auton, A., McVean, G., , ., Sella, G., & Przeworski, M. (2011). Classic Selective Sweeps Were Rare in Recent Human Evolution Science, 331 (6019), 920-924 DOI: 10.1126/science.1198878